Affiliation:
1. Department of Epidemiology Emory University Rollins School of Public Health Atlanta GA
2. Department of Medicine and Biostatistics University of California Los Angeles CA
3. Atlanta VA Health Care System Decatur GA
4. Department of Medicine Emory University School of Medicine Atlanta GA
5. VA Providence Healthcare System Providence RI
6. Warren Alpert Medical School Brown University Providence RI
Abstract
Background
Heart failure (HF) is a serious condition with increasing prevalence, high morbidity, and increased mortality. Obesity is an established risk factor for HF. Fluctuation in body mass index (BMI) has shown a higher risk of cardiovascular outcomes. We investigated the association between BMI variability and incident HF.
Methods and Results
In the UK Biobank, we established a prospective cohort after excluding participants with prevalent HF or cancer at enrollment. A total of 99 368 White participants with ≥3 BMI measures during >2 years preceding enrollment were included, with a median follow‐up of 12.5 years. The within‐participant variability of BMI was evaluated using standardized SD and coefficient of variation. The association of BMI variability with incident HF was assessed using Fine and Gray's competing risk model, adjusting for confounding factors and participant‐specific rate of BMI change. Higher BMI variability measured in both SD and coefficient of variation was significantly associated with higher risk in HF incidence (SD: hazard ratio [HR], 1.05 [95% CI, 1.03–1.08],
P
<0.0001; coefficient of variation: HR, 1.07 [95% CI, 1.04–1.10],
P
<0.0001).
Conclusions
Longitudinal health records capture BMI fluctuation, which independently predicts HF incidence.
Publisher
Ovid Technologies (Wolters Kluwer Health)